IDEAS home Printed from https://ideas.repec.org/p/cge/wacage/705.html
   My bibliography  Save this paper

The Hidden Toll of the Pandemic: Excess Mortality in non-COVID-19 Hospital Patients

Author

Listed:
  • Fetzer, Thiemo

    (University of Warwick & University of Bonn & CEPR & ECONtribute)

  • Rauh, Christopher

    (University of Cambridge, PRIO, CEPR, IZA & HCEO)

  • Schreiner, Clara

    (Nuffield College, University of Oxford.)

Abstract

Seasonal infectious diseases can cause demand and supply pressures that reduce the ability of healthcare systems to provide high-quality care. This may generate negative spillover effects on the health outcomes of patients seeking medical help for unrelated reasons. Separating these indirect burdens from the direct consequences for infected patients is usually impossible because of a lack of suitable data and an absence of population testing. However, this paper finds robust empirical evidence of excess mortality among non-COVID-19 patients in an integrated public healthcare system: the English NHS. Analysing the forecast error in the NHS’ model for predicted mortality, we find at least one additional excess death among patients who sought medical help for reasons unrelated to COVID-19 for every 42 COVID-19-related deaths in the population. We identify COVID-19 pressures as a key driver of non-COVID-19 excess mortality in NHS hospitals during the pandemic, and characterise the hospital populations and medical conditions that are disproportionately affected. Our findings have substantive relevance in shaping our understanding of the wider burden of COVID-19, and other seasonal diseases more generally, and can contribute to debates on optimal public health policy.

Suggested Citation

  • Fetzer, Thiemo & Rauh, Christopher & Schreiner, Clara, 2024. "The Hidden Toll of the Pandemic: Excess Mortality in non-COVID-19 Hospital Patients," CAGE Online Working Paper Series 705, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:705
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/wp705.2024.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Externalities; spillovers; COVID-19; public health; seasonal diseases; excess mortality; prediction error JEL Classification: I1; I18;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cge:wacage:705. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jane Snape (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.